Javier Albusac

636 total citations
55 papers, 377 citations indexed

About

Javier Albusac is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Rehabilitation. According to data from OpenAlex, Javier Albusac has authored 55 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 12 papers in Rehabilitation. Recurrent topics in Javier Albusac's work include Stroke Rehabilitation and Recovery (12 papers), Virtual Reality Applications and Impacts (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Javier Albusac is often cited by papers focused on Stroke Rehabilitation and Recovery (12 papers), Virtual Reality Applications and Impacts (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Javier Albusac collaborates with scholars based in Spain and United Kingdom. Javier Albusac's co-authors include David Vallejo, J.J. Castro-Schez, C. Glez-Morcillo, Luis Jiménez, Luis Rodríguez-Benítez, Miguel Á. Redondo, Francisco Jurado, Dorothy Monekosso, Félix J. Villanueva and Paolo Remagnino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Javier Albusac

49 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javier Albusac Spain 11 133 129 56 52 45 55 377
Imad Afyouni United Arab Emirates 11 153 1.2× 125 1.0× 38 0.7× 42 0.8× 53 1.2× 44 551
David Vallejo Spain 14 156 1.2× 179 1.4× 75 1.3× 110 2.1× 75 1.7× 67 568
Chris Roast United Kingdom 11 118 0.9× 70 0.5× 45 0.8× 74 1.4× 114 2.5× 47 391
Álvaro Soria Argentina 11 77 0.6× 60 0.5× 46 0.8× 146 2.8× 81 1.8× 32 368
Yafang Wang China 14 221 1.7× 177 1.4× 58 1.0× 111 2.1× 30 0.7× 51 578
Martin Hanneghan United Kingdom 12 72 0.5× 146 1.1× 113 2.0× 72 1.4× 25 0.6× 27 385
Rim Slama France 10 121 0.9× 425 3.3× 18 0.3× 30 0.6× 95 2.1× 24 625
Ary Setijadi Prihatmanto Indonesia 11 88 0.7× 105 0.8× 30 0.5× 86 1.7× 59 1.3× 152 529
Mau‐Tsuen Yang Taiwan 14 64 0.5× 322 2.5× 44 0.8× 60 1.2× 112 2.5× 28 564

Countries citing papers authored by Javier Albusac

Since Specialization
Citations

This map shows the geographic impact of Javier Albusac's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Javier Albusac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Albusac more than expected).

Fields of papers citing papers by Javier Albusac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Albusac. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Javier Albusac. The network helps show where Javier Albusac may publish in the future.

Co-authorship network of co-authors of Javier Albusac

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Albusac. A scholar is included among the top collaborators of Javier Albusac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Albusac. Javier Albusac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Albusac, Javier, et al.. (2025). An Adaptive Fatigue Detection Model for Virtual Reality-Based Physical Therapy. Information. 16(2). 148–148. 2 indexed citations
3.
Albusac, Javier, J.J. Castro-Schez, C. Glez-Morcillo, et al.. (2025). Creating adapted environments: enhancing accessibility in virtual reality for upper limb rehabilitation through automated element adjustment. Virtual Reality. 29(1). 3 indexed citations
4.
Vallejo, David, et al.. (2025). Explainable AI-driven decision support system for personalizing rehabilitation routines in stroke recovery. Progress in Artificial Intelligence. 4 indexed citations
5.
Albusac, Javier, et al.. (2024). MR-LEAP: Mixed-Reality Learning Environment for Aspirational Programmers. Software Impacts. 20. 100648–100648. 1 indexed citations
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Albusac, Javier, et al.. (2024). Exploring Interaction Mechanisms and Perceived Realism in Different Virtual Reality Shopping Setups. 505–512. 1 indexed citations
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Vallejo, David, et al.. (2023). Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation. SoftwareX. 23. 101412–101412. 11 indexed citations
11.
Albusac, Javier, et al.. (2023). Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach. Multimedia Tools and Applications. 83(21). 60537–60563. 2 indexed citations
12.
Reyes-Guzmán, Ana de los, David Vallejo, J.J. Castro-Schez, et al.. (2023). Performance Analysis for Upper Limb Rehabilitation in Non-Immersive and Immersive Scenarios. 231–242. 2 indexed citations
13.
Castro-Schez, J.J., C. Glez-Morcillo, Javier Albusac, & David Vallejo. (2020). An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning. Information Sciences. 544. 446–468. 39 indexed citations
14.
Vallejo, David, et al.. (2020). Personalized Exergames Language: A Novel Approach to the Automatic Generation of Personalized Exergames for Stroke Patients. Applied Sciences. 10(20). 7378–7378. 14 indexed citations
15.
Albusac, Javier, J.J. Castro-Schez, Miguel Castro‐García, Juan Carlos Pérez‐Flores, & Jesús Canales‐Vázquez. (2020). Design and Evaluation of a System for Decentralized Management of Solidarity Actions during the COVID-19 Crisis. Applied Sciences. 10(22). 8064–8064. 1 indexed citations
16.
Vallejo, David, J.J. Castro-Schez, C. Glez-Morcillo, & Javier Albusac. (2019). Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes. Engineering Applications of Artificial Intelligence. 87. 103243–103243. 27 indexed citations
17.
Vallejo, David, et al.. (2019). An Agent-based Approach to Physical Rehabilitation of Patients affected by Neurological Diseases. Procedia Computer Science. 160. 346–353. 2 indexed citations
18.
Albusac, Javier, David Vallejo, Luis Jiménez, J.J. Castro-Schez, & C. Glez-Morcillo. (2012). Combining degrees of normality analysis in intelligent surveillance systems. International Conference on Information Fusion. 2436–2443. 1 indexed citations
19.
Glez-Morcillo, C., David Vallejo, Javier Albusac, Luis Jiménez, & J.J. Castro-Schez. (2011). A New Approach to Grid Computing for Distributed Rendering. aidss. 9–16. 6 indexed citations
20.
Vallejo, David, et al.. (2009). A modern approach to multiagent development. Journal of Systems and Software. 83(3). 467–484. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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